code: def test_bootstrap_results():
      np.random.seed(0)
      x = np.random.normal(0, 1, 100)
      distribution = bootstrap(
          x, 100, np.mean, kwargs=dict(axis=1), random_state=0
      )
  
      mu, sigma = mean_sigma(distribution)
  
      assert_allclose([mu, sigma], [0.08139846, 0.10465327])
  
file_path: astroML/astroML/tests/test_resample.py
imports: import numpy
  from numpy.testing import assert_allclose
  from astroML.resample import bootstrap, jackknife
  from astroML.stats import mean_sigma
label_desc: Use image node_id 3 for calling a global function with example usage: test_bootstrap_results() without return types